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Towards Optimal Bidding Strategy for Amazon EC2 Cloud Spot Instance
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1109/cloud.2010.35openalex-snapshot
Reducing Costs of Spot Instances via Checkpointing in the Amazon Elastic Compute Cloud
inferredcites →https://doi.org/10.1109/dcs.1988.12507openalex-snapshot
Condor-a hunter of idle workstations
inferredcites →https://doi.org/10.1109/ipdps.2009.5160911openalex-snapshot
Cost-benefit analysis of Cloud Computing versus desktop grids
inferredcites →https://doi.org/10.1109/ipdps.2009.5160966openalex-snapshot
Using a market economy to provision compute resources across planet-wide clusters
inferredcites →https://doi.org/10.1109/mascots.2010.34openalex-snapshot
Decision Model for Cloud Computing under SLA Constraints
inferredcites →https://doi.org/10.1109/noms.2010.5488488openalex-snapshot
Exploiting non-dedicated resources for cloud computing
inferredcites →https://doi.org/10.1109/sc.2008.5217932openalex-snapshot
The cost of doing science on the cloud: The Montage example
inferredcites →https://doi.org/10.1145/1141277.1141620openalex-snapshot
Adaptive page-level incremental checkpointing based on expected recovery time
inferredcites →https://doi.org/10.1201/9781315140223openalex-snapshot
Constrained Markov Decision Processes
inferredcites →https://doi.org/10.3745/kipsta.2006.13a.4.289openalex-snapshot
Taking Point Decision Mechanism of Page-level Incremental Checkpointing based on Cost Analysis of Process Execution Time
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Bidding Strategy Based on Adaptive Differential Evolution Algorithm for Dynamic Pricing IaaS Instances
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Optimization Heuristics for Cost-Efficient Long-Term Cloud Portfolio Allocations
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Markov Decision Process to Dynamically Adapt Spots Instances Ratio on the Autoscaling of Scientific Workflows in the Cloud
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Price forecasting for spot instances in Cloud computing
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Optimal Pricing and Service Provisioning Strategies in Cloud Systems: A Stackelberg Game Approach
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CAP3: A Cloud Auto-Provisioning Framework for Parallel Processing Using On-Demand and Spot Instances
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Service Selection in a Cloud Marketplace: A Multi-Perspective Solution
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Testing for Bugs of Cloud-Based Applications Resulting from Spot Instance Revocations
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On a Feedback Control-Based Mechanism of Bidding for Cloud Spot Service
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Resource Management in Cloud Networking Using Economic Analysis and Pricing Models: A Survey
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Bricklayer: Resource Composition on the Spot Market
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Probability Density for Amazon Spot Instance Price
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A Cloud Bidding Framework for Deadline Constrained Jobs
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Opportunistic Scheduling for Optimal Spot Instance Savings in the Cloud
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SPA: Harnessing Availability in the AWS Spot Market
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Hidden Markov Model Based Spot Price Prediction for Cloud Computing
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Provisioning Spot Instances Without Employing Fault-Tolerance Mechanisms
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Fault Tolerant Stencil Computation on Cloud-Based GPU Spot Instances
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Truthful Multi-Combinatorial Double Auction Mechanism for Cloud Resource Allocation
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Exploiting Redundancy and Application Scalability for Cost-Effective, Time-Constrained Execution of HPC Applications on Amazon EC2
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Managing Risk in a Derivative IaaS Cloud
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T-BASIR: Finding Shutdown Bugs for Cloud-Based Applications in Cloud Spot Markets
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Automatic Minimization of Execution Costs of SPITS Programs in AWS
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Modeling The Temporally Constrained Preemptions of Transient Cloud VMs
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